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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

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Assessing the "Rothstein Falsification Test": Does It Really Show Teacher Value-Added Models Are Biased? CEDR Working Paper No. 2012 1.3
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Goldhaber, Dan; Chaplin, Duncan – Center for Education Data & Research, 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: School Effectiveness, Teacher Effectiveness, Achievement Gains, Statistical Bias
My End of the Bargain: Exploring the Influence of Spatial Relationships on the Provisions in Collective Bargaining Agreements. CEDR Working Paper 2012-2
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Goldhaber, Dan; Lavery, Lesley; Theobald, Roddy – Center for Education Data & Research, 2012
A large literature on teacher collective bargaining describes the potential influence of provisions in teacher union contracts, but little is known about the determinants of these provisions. Using a unique dataset of every active teacher collective bargaining agreement in Washington state, we find that the proximity of two districts is a…
Descriptors: Unions, Collective Bargaining, Teacher Associations, Interpersonal Relationship
Managing the Teacher Workforce in Austere Times: The Determinants and Implications of Teacher Layoffs. CEDR Working Paper No. 2011-1.3
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Goldhaber, Dan; Theobald, Roddy – Center for Education Data & Research, 2011
Over 2,000 teachers in the state of Washington received reduction-in-force (RIF) notices across the 2008-09 and 2009-10 school years. We link data on these RIF notices to an administrative dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice.…
Descriptors: Teaching (Occupation), Economic Climate, Structural Unemployment, Job Layoff